Data Engineer - Underwriting (m/f) | Hamburg
Description
Join the financial revolution!
Are you passionate about finance and want to make a real change? Join Kreditech and our team of over 300 professionals and become part of a transforming industry. From engineering, to design, to analytics, and collections, we do things differently and we reward great ideas, team work and persistence. We have a lot of work to do – and we want you to join us!
Your Role
- Build innovative and highly robust data pipeline application to feed credit risk evaluation models built by our data scientists;
- Drive commercial decisions through data analysis and translate such decisions into technical solutions;
- Express creativity and smart, out of the box thinking to find new, consistent and scalable IT solutions;
- Work with one of the biggest and most detailed data sets of users to improve data quality, consistency and availability;
- Work closely with data science, product and infrastructure with daily interactions.
Your Strengths
- 3+ years of related work experience;
- Master or Bachelor (Engineering / Computer science or similar);
- Strong knowledge in one of these programming languages: Scala, Python, Java;
- Experience with Big Data technologies (e.g. MapReduce, Spark, Storm, Hive, Impala, Pig, Kafka, Elastic Search);
- Experiences with cloud services (AWS, Google Cloud) and with Lambda Functions;
- Excellent analytical skills and the ability to translate analytical problems into SQL;
- A solid background with NoSQL databases (MongoDB);
- Knowledge of Software Architectures, APIs, Docker and Git;
- Able to leverage data to drive decision making;
- Ability to handle changing priorities and use good judgment when working in stressful situations;
- Team-Spirit, good sense of humor, capability to work independently and a strong willingness to learn.
- Knowledge of R and Analytics skills would be a plus.
How to apply
We accept applications exclusively through our recruiting platform, found under the ‘Apply Now’ link.